These materials replicate the results from the main text of Lyon (2022), �Value Similarity and Norm Change: Null Effects and Backlash to Messaging on Same-Sex Rights in Uganda.� 

The file structure, below, will be preserved if the entire replication dataset is downloaded. 

The replication files are organized as follows:(1) Code Folder: there are three different scripts that are needed to process the data and conduct all analyses presented in the main text:	(a) data_processing.R � the script that prepares the raw survey data for analysis. This script loads the dataset, �uganda_raw.csv.� To run this script, add the path to where the replication folder is stored in line 13 of the script. This script produces two analysis-ready datasets that are stored to the Data folder in the replication file: �clean_data.csv� (the processed data that is used for the majority of the analyses conducted in the main text) and �list_data.csv� (the processed data that is used for the double list experiment presented in the main text).  	(b) figure1_maps.R � the script that produces Figure 1 in the main text. This script loads two datasets: �samesex_legality.csv� and the Afrobarometer Round 6 data. To run this script, add the path to where the replication folder is stored in line 18 of the script. This script saves figures to the Output folder in the replication file. 	(c) main_analysis.R � the script that conducts all other analyses presented in the main text. This script loads two datasets: �clean_data.csv� and �list_data.csv.� To run this script, add the path to where the replication folder is stored in line 18 of the script. This script saves figures to the Output folder in the replication file. (2) Data Folder: there are three datasets that are needed to run the scripts, discussed above:	(a) uganda_raw.csv � this is the raw, anonymized survey data with 1029 observations. This dataset is required for the data_processing.R script. 	(b) samesex_legality.csv � this author-coded dataset contains information about the legal status of same-sex relations in the Sub-Saharan Africa region. This dataset is required for the figure1_maps.R script.	(c) merged_r6_data_2016_36countries2.sav � this dataset is the merged data from Round 6 of the Afrobarometer. This dataset can be directly downloaded from: https://www.afrobarometer.org/survey-resource/merged-round-6-data-36-countries-2016/The Data Folder also contains the output from the data_processing.R script: �clean_data.csv� and �list_data.csv.� Finally, the Data Folder contains a codebook that describes the raw data coding of all variables used for the main analysis.(3) Output Folder: this folder contains the figures that are featured in the main text, as produced by the figure1_maps.R and main_analysis.R scripts.

All analyses were conducted using R version 3.6.1.